decargroup / closed_loop_koopmanLinks
Companion code for Closed-Loop Koopman Operator Approximation
☆16Updated last year
Alternatives and similar repositories for closed_loop_koopman
Users that are interested in closed_loop_koopman are comparing it to the libraries listed below
Sorting:
- Model-based Control using Koopman Operators☆55Updated 5 years ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- MPC package for solving optimal control problems☆18Updated 5 months ago
- Automatic Tuning for Data-driven Model Predictive Control☆70Updated 2 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆69Updated 4 years ago
- A prototypical implementation of the recently proposed feasible sequential linear programming algorithm.☆15Updated 2 months ago
- Differentiable predictive control (DPC) policy optimization examples.☆59Updated 2 years ago
- Economic tuning of tracking (N)MPC problems.☆37Updated 5 months ago
- Repository for Koopman based learning and nonlinear control☆49Updated 2 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆46Updated 2 years ago
- ☆56Updated last week
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆53Updated 6 months ago
- Convex Geometric Trajectory Tracking using Lie Algebraic MPC for Autonomous Marine Vehicles☆52Updated 2 years ago
- Repository for computing the probability distribution of an optimal control problem☆11Updated 4 years ago
- ☆11Updated last year
- Github Mirror of https://gitlab.mech.kuleuven.be/meco-software/rockit☆56Updated 7 months ago
- A curated list of solvers/software/frameworksrelevant for dynamic optimiation☆36Updated 4 months ago
- ☆27Updated 4 years ago
- ☆76Updated last year
- Guaranteed Sequential Trajectory Optimization (GuSTO), using sequential convex programming for trajectory optimization with strong theore…☆64Updated last year
- ☆53Updated 11 months ago
- Neural Networks with CasADi☆11Updated 7 months ago
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation☆50Updated 4 years ago
- Code for "Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter"☆20Updated 2 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆28Updated 2 years ago
- Safe guaranteed exploration for non-linear systems☆19Updated last year
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆62Updated 7 months ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆60Updated 2 years ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆22Updated 2 months ago